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tests: Add machine learning README

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This PR adds machine learning README.

Signed-off-by: Gabriela Cervantes <gabriela.cervantes.tellez@intel.com>
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Gabriela Cervantes 2023-07-12 16:37:15 +00:00
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@ -79,6 +79,8 @@ Test relating to measure reading and writing against clusters.
Tests relating with TensorFlow and Pytorch implementations of several popular Tests relating with TensorFlow and Pytorch implementations of several popular
convolutional models. convolutional models.
For further details see the [machine learning tests documentation](machine_learning).
## Saving Results ## Saving Results
In order to ensure continuity, and thus testing and historical tracking of results, In order to ensure continuity, and thus testing and historical tracking of results,

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# Kata Containers Tensorflow Metrics
Kata Containers provides a series of performance tests using the
TensorFlow reference benchmarks (tf_cnn_benchmarks).
The tf_cnn_benchmarks containers TensorFlow implementations of several
popular convolutional models.
## Running the test
Individual tests can be run by hand, for example:
```
$ cd metrics/machine_learning
$ ./tensorflow.sh 25 60
```
# Kata Containers Pytorch Metrics
Kata Containers provides a series of performance tests using Pytorch
benchmarks based on a suite of Python high performance computing
benchmarks.
## Running the Pytorch test
Individual tests can be run by hand, for example:
```
$ cd metrics/machine_learning
$ ./tensorflow.sh 40 100
```